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    Reports from Wuhan University of Technology Highlight Recent Findings in Machine Learning (Comprehensive Evaluation of Machine Learning Models for Predicting Ship Energy Consumption Based On Onboard Sensor Data)

    102-103页
    查看更多>>摘要:Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, “Machine learning models for predicting ship energy consumption are built and their influencing factors are investigated. First, data collected from a real ship is preprocessed.” 102 Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), Weichai Power Co., Ltd. technology project, Green Intelligent Inland Ship Innovation Programme of China. The news reporters obtained a quote from the research from the Wuhan University of Technology, “Six machine learning methods are used to establish the prediction models of ship fuel consumption, and the performance of models is evaluated by Mean Absolute Error, Coefficient of Determination and training time. Then, by analysing the correlation and impor-tance of the features, it's studied whether the model established complies with the laws of physics. Finally, the factors affecting the prediction performance of machine learning models are analysed. The results show that Random Forest and Extreme Gradient Boosting are the most suitable algorithms for ship fuel consumption prediction. Data preprocessing, data normalisation, training sample size, model type, ship operating conditions, as well as the thermotechnical parameters of main engine have impact on the prediction performance.”

    University of Sydney Reports Findings in Artificial Intelligence (Implementation of Artificial Intelligence Applications in Australian Healthcare Organisations: Environmental Scan Findings)

    103-104页
    查看更多>>摘要:New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Sydney, Australia, by NewsRx correspondents, research stated, “Artificial Intelligence (AI) has great potential to improve healthcare, but implementation into routine practice remains a challenge. This study scoped the extent to which AI and Natural Language Processing (NLP) is being implemented into routine practice in Australian healthcare organisations.” Our news editors obtained a quote from the research from the University of Sydney, “An environmental scan of publicly available data was undertaken to identify AI applications. Publicly available data consisted of news posts from Australian public healthcare organisations and conference proceedings from key research organisations. Two researchers reviewed and analysed posts related to AI applications to create a list of potential implementation case studies. The final list of AI applications was reviewed by a governance committee in order to identify any missing applications. One application was identified by the governance committee and subsequently added. The environmental scan identified eighteen AI applications, of which eleven met all eligibility criteria. Only one application included NLP. Twelve applications were included when the application identified by the governance committee was added to the list.”

    New Machine Learning Data Have Been Reported by Investigators at Xi'an Shiyou University (Addressing the Inspection Selection Challenges of In-service Pipeline Weld Ensemble Tree Models)

    104-105页
    查看更多>>摘要:Investigators publish new report on Machine Learning. According to news reporting originating from Xi'an, People's Republic of China, by NewsRx editors, the research stated, “Natural gas transportation predominantly utilizes pipelines, and the safety of these systems largely hinges on the integrity of girth welds. However, once pipelines are buried post-construction, pinpointing weld inspection sites becomes complex.” Financial supporters for this research include Xianyang Science and Technology Bureau, Graduate Innovation and Practical Ability Cultivation Program of Xi'an Shiyou University. Our news editors obtained a quote from the research from Xi'an Shiyou University, “Presently, weld risk assessments rely on costly and specialized inspections. Hence, enhancing the accuracy in identifying defective welds and discovering superior inspection techniques is paramount. Our research employed machine learning, specifically an ensemble model of RandomForest and CatBoost, to prioritize weld inspections. After analyzing the West-East Gas Pipeline Girth Weld Dataset and addressing data imbalances using the SMOTE technique, we refined the model parameters. The culminating model yielded an F1-score of 0.815 and an average accuracy of 0.836, outperforming standalone models. Employing the SHAP method improved the model's transparency, facilitating a more informed decision-making process regarding pipeline inspections.”

    Patent Issued for Autonomous devices, systems, and methods for queuing folded laundry (USPTO 11873174)

    105-109页
    查看更多>>摘要:Monotony.ai Inc. (Watertown, Massachusetts, United States) has been issued patent number 11873174, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Bixby, Benjamin D. (Newton Highlands, MA, US), Duffley, Samuel (Cambridge, MA, US), Hickman, Madeline R. (Arlington, MA, US), Sielaff, Jesse (Norfolk, MA, US). This patent was filed on October 29, 2021 and was published online on January 16, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: “The present disclosure is directed to robotic laundry devices, systems, and methods. “Automating and outsourcing mundane, time-consuming household chores to robotic devices is increasingly common. Time-saving home robots include, for example, floor vacuuming and floor washing robots. Outsourcing responsibilities include, for example, engaging grocery shopping and delivery, and manually operated and human-operator dependent laundry washing and dry-cleaning pick up and return services.

    Patent Application Titled 'Robotic Drive System For A Catheter- Based Procedure System' Published Online (USPTO 20240016560)

    109-113页
    查看更多>>摘要:According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Blacker, Steven J. (Framingham, MA, US); Canale, Cameron (Groton, MA, US); Clark, Andrew (Arlington, MA, US); Klem, Eric (Lexington, MA, US); Saber, Omid (Waltham, MA, US); Saeedi, Kody (Ashland, MA, US); Seow, Chi Min (Watertown, MA, US); Sokhanvar, Saeed (Belmont, MA, US), filed on January 14, 2021, was made available online on January 18, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Catheters and other elongated medical devices (EMDs) may be used for minimally invasive medical procedures for the diagnosis and treatment of diseases of various vascular systems, including neurovascular intervention (NVI) also known as neurointerventional surgery, percutaneous coronary intervention (PCI) and peripheral vascular intervention (PVI). These procedures typically involve navigating a guidewire through the vasculature, and via the guidewire advancing a catheter to deliver therapy. The catheterization procedure starts by gaining access into the appropriate vessel, such as an artery or vein, with an introducer sheath using standard percutaneous techniques. Through the introducer sheath, a sheath or guide catheter is then advanced over a diagnostic guidewire to a primary location such as an internal carotid artery for NVI, a coronary ostium for PCI, or a superficial femoral artery for PVI. A guidewire suitable for the vasculature is then navigated through the sheath or guide catheter to a target location in the vasculature. In certain situations, such as in tortuous anatomy, a support catheter or microcatheter is inserted over the guidewire to assist in navigating the guidewire. The physician or operator may use an imaging system (e.g., fluoroscope) to obtain a cine with a contrast injection and select a fixed frame for use as a roadmap to navigate the guidewire or catheter to the target location, for example, a lesion. Contrast-enhanced images are also obtained while the physician delivers the guidewire or catheter so that the physician can verify that the device is moving along the correct path to the target location. While observing the anatomy using fluoroscopy, the physician manipulates the proximal end of the guidewire or catheter to direct the distal tip into the appropriate vessels toward the lesion or target anatomical location and avoid advancing into side branches.

    Patent Issued for Cleaning rollers for cleaning robots (USPTO 11871888)

    113-116页
    查看更多>>摘要:A patent by the inventors Amaral, Erik (Lexington, MA, US), Burbank, Eric (Bed- ford, MA, US), Ohm, Timothy R. (Grover Beach, CA, US), filed on September 3, 2021, was published online on January 16, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11871888 is assigned to iRobot Corporation (Bedford, Massachusetts, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “An autonomous cleaning robot can navigate across a floor surface and avoid obstacles while vacuuming the floor surface and operating rotatable members carried by the robot to ingest debris from the floor surface. As the robot moves across the floor surface, the robot can rotate the rotatable members, which engage the debris and guide the debris toward a vacuum airflow generated by the robot. The rotatable members and the vacuum airflow can thereby cooperate to allow the robot to ingest debris.” In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors' summary information for this patent: “A cleaning roller for an autonomous cleaning robot can be rotated during a cleaning operation of the robot such that the roller engages and picks up debris from a floor surface as the robot moves across the floor surface. The roller includes a vane configured to sweep across the floor surface as the roller rotates. The vane can include multiple interconnected portions forming at least one bend. For example, a first portion of the vane can extend in a first direction, and a second portion of the vane attached to the first portion can extend in a second direction different from the first direction.

    Patent Application Titled 'Overlapping Fiber Gratings' Published Online (USPTO 20240019279)

    117-122页
    查看更多>>摘要:According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Childers, Brooks (Christiansburg, VA, US); Froggatt, Mark E. (Blacksburg, VA, US), filed on September 29, 2023, was made available online on January 18, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Optical fibers can be used as distributed optical sensors in many applications, for instance, to measure a physical parameter associated with the optical fiber, such as pressure, temperature, and the two-dimensional or three-dimensional shape of the fiber. Fiber-optic shape sensing is useful, for example, in industrial, recreational, medical, robotic, and other procedures where collocating a portion of a tool with a portion of a shape-sensing optical fiber facilitates determination of the location of the tool. As a further example, collocating a medical tool with a portion of a shape-sensing optical fiber can help facilitate more precise determination of the location of the tool in robotic and non-robotic medical procedures. As a specific medical example, in robotic or other computer-assisted surgery, collocating a surgical tool with a portion of the shape-sensing optical fiber facilitates precise determination of the location of the tool outside or within the patient's body based on the three-dimensional fiber shape. The fiber shape can be computed from the bend, twist, and axial strain along the optical fiber, which, in turn, are determined based on continuous strain measurements along multiple cores of the fiber. For accurate shape determinations, it is not only important to measure the strain accurately, but also to know where along the length of the fiber each strain measurement applies.

    Researchers Submit Patent Application, 'Modular Device Comprising Mechanical Arms', for Approval (USPTO 20240016564)

    122-127页
    查看更多>>摘要:From Washington, D.C., NewsRx journalists report that a patent application by the inventors COHEN, Dvir (Or-Yehuda, IL); LEVINSON, Yaron (Or-Yehuda, IL), filed on September 27, 2023, was made available online on January 18, 2024. The patent's assignee is Momentis Surgical Ltd. (Or-Yehuda, Israel). News editors obtained the following quote from the background information supplied by the inventors: “The present invention, in some embodiments thereof, relates to actuation of a device including at least one surgical arm and, more particularly, but not exclusively, to a motor unit configured for actuating at least one surgical arm. “Background art includes: “Design of a Compact Robotic Manipulator for Single-Port Laparoscopy” by Claudio Quaglia et al, Paper No: MD-13-1148 in J. Mech. Des. 136(9), 095001 (Jun.13,2014); “An inverse kinematics method for 3D FIGs. with motion data” by Taku Komura et al, Proceedings of the Computer Graphics International (CGI'03);

    Patent Application Titled 'Detecting And Responding To Malicious Acts Directed Towards Machine Learning Model' Published Online (USPTO 20240022585)

    127-130页
    查看更多>>摘要:According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Ballard, James (Fredericksburg, VA, US); Burns, Tanner (Austin, TX, US); Sestito, Chris (Austin, TX, US), filed on July 15, 2022, was made available online on January 18, 2024. The assignee for this patent application is HiddenLayer Inc. (Leander, Texas, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Machine learning computing resources are becoming more popular in products and computing systems. With the increased presence of machine learning model resources, so have the attacks perpetrated on machine learning-based systems by bad actors. Traditional methods of virus detection do not detect attacks made against most machine learning systems. As such, what is needed is an improved method for detecting attacks on machine learning systems.”

    'Moving Robot Capable Of Recognizing Carpet' in Patent Application Approval Process (USPTO 20240019871)

    130-133页
    查看更多>>摘要:A patent application by the inventor WANG, GUO-ZHEN (Hsin-Chu County, TW), filed on September 28, 2023, was made available online on January 18, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background information supplied by the inventors: “ “This disclosure generally relates to a moving robot and, more particularly, to a moving robot with improved accuracy of identifying a plush carpet in front of a moving direction thereof. “The cleaning robot has become one important product among various home appliances in a smart home. During operation, the cleaning robot builds up a working map through identifying distances from various obstacles. “In a cleaning robot adopting an image sensor as the detecting means, in addition to the regular surface such as a tile floor or a wood floor, the cleaning robot is also operated on other special surfaces such as a plush carpet.